Predicting RF Heating of Conductive Leads During Magnetic Resonance Imaging at 1.5 T: A Machine Learning Approach

The number of patients with active implantable medical devices continues to rise in the United States and around the world. It is estimated that 50-75% of patients with conductive implants will need magnetic resonance imaging (MRI) in their lifetime. A major risk of performing MRI in patients with e...

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Detalles Bibliográficos
Autores principales: Zheng, Can, Chen, Xinlu, Nguyen, Bach T., Sanpitak, Pia, Vu, Jasmine, Bagci, Ulas, Golestanirad, Laleh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940641/
https://www.ncbi.nlm.nih.gov/pubmed/34892151
http://dx.doi.org/10.1109/EMBC46164.2021.9630718

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940641/
https://www.ncbi.nlm.nih.gov/pubmed/34892151
http://dx.doi.org/10.1109/EMBC46164.2021.9630718

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